AST: A library for modelling and manipulating coordinate systems

Berry, D. S.; Warren-Smith, R. F.; Jenness, Tim

doi:10.1016/j.ascom.2016.02.003

Cited by 9 publications

(5 citation statements)

References 15 publications

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“…For each image in the sequence, we compute the monochromatic DAR using Equation (12) of Gubler & Tytler (1998). The refco function from the Starlink AST C library (Berry et al 2016) is used to calculate the refraction constants A and B given the relative humidity, temperature, and pressure measured at the Canada-France-Hawaii Telescope (CFHT) weather station 4 at the time of the exposure and the NIRC2 K s central wavelength of 2.146 μm. 5 For the zenith separation, we project the angular distance between PZ Tel A and B for each individual frame onto its zenith axis determined prior to DAR correction.…”

Section: Keck/nirc2 Adaptive Optics Imagingmentioning

confidence: 99%

Dynamical Mass of the Young Brown Dwarf Companion PZ Tel B

Franson

Bowler

2023

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Dynamical masses of giant planets and brown dwarfs are critical tools for empirically validating substellar evolutionary models and their underlying assumptions. We present a measurement of the dynamical mass and an updated orbit of PZ Tel B, a young brown dwarf companion orbiting a late-G member of the β Pic moving group. PZ Tel A exhibits an astrometric acceleration between Hipparcos and Gaia EDR3, which enables the direct determination of the companion’s mass. We have also acquired new Keck/NIRC2 adaptive optics imaging of the system, which increases the total baseline of relative astrometry to 15 yr. Our joint orbit fit yields a dynamical mass of 27 − 9 + 25 M Jup , semimajor axis of 27 − 4 + 14 au , eccentricity of 0.52 − 0.10 + 0.08 , and inclination of 91.73 − 0.32 + 0.36 ° . The companion’s mass is consistent within 1.1σ of predictions from four grids of hot-start evolutionary models. The joint orbit fit also indicates a more modest eccentricity of PZ Tel B than previous results. PZ Tel joins a small number of young (<200 Myr) systems with benchmark substellar companions that have dynamical masses and precise ages from moving group membership.

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Section: Keck/nirc2 Adaptive Optics Imagingmentioning

confidence: 99%

Dynamical Mass of the Young Brown Dwarf Companion PZ Tel B

Franson

Bowler

2023

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“…In order to overcome these issues, we make use of Unity's native code plugin system. A C++ data analysis plugin is used to efficiently perform compute-intensive tasks in parallel using OpenMP, while wrapper plugins were used to interface with scientific libraries such as CFITSIO (Pence, 1999) and AST (Berry et al, 2016).…”

Section: Development Of Idaviementioning

confidence: 99%

Exploring and Interrogating Astrophysical Data in Virtual Reality

Jarrett¹,

Comrie²,

Marchetti³

et al. 2020

Preprint

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Scientists across all disciplines increasingly rely on machine learning code to analyse the vast quantity of data that is now commonplace, rapidly growing in volume and complexity. As the compelling trends and outliers are identified, careful and close inspection will still be necessary to disentangle the astrophysics from, say, systematics and false positives. It is clearly necessary to migrate to new technologies to facilitate scientific analysis and exploration. Astrophysical data is inherently multi-parameter, with the spatial dimensions at the core of imaging, spectral, time-domain and simulation data. The arrival of mainstream virtualreality (VR) headsets and increased GPU power, as well as the availability of versatile development tools for video games, has enabled scientists to deploy such technology to effectively interrogate and interact with complex multidimensional data. In this paper we present development and results from custom-built interactive VR tools, called the iDaVIE suite, that are informed and driven by research on galaxy evolution, cosmic web large-scale structure, galaxy-galaxy interactions, and gas/kinematics of nearby galaxies in survey and targeted observations. The Era of Big Data ushered in by the SKA and its Pathfinders challenges our storage, calibration, reduction and refinement methods, and it also demands innovative ways to interrogate the data at intuitive -leveraging visual perception -levels necessary for new discovery.

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“…In France, the Terapix project also needed to manage distortion, and Emanuel Bertin wrote SCAMP [35] to produce a distortion correction to an image's WCS. WCSTools includes subroutines to decode all of these distortion methods (see Table 2), and the AST library [36], IRAF [18], and Astrometry.net [37] implement some of them.…”

Section: Standardizing Metadata: World Coordinate Systemsmentioning

confidence: 99%

Astronomical data formats: What we have and how we got here

Mink

2015

Astronomy and Computing

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a b s t r a c tDespite almost all being acquired as photons, astronomical data from different instruments and at different stages in its life may exist in different formats to serve different purposes. Beyond the data itself, descriptive information is associated with it as metadata, either included in the data format or in a larger multi-format data structure. Those formats may be used for the acquisition, processing, exchange, and archiving of data. It has been useful to use similar formats, or even a single standard to ease interaction with data in its various stages using familiar tools. Knowledge of the evolution and advantages of present standards is useful before we discuss the future of how astronomical data is formatted. The evolution of the use of world coordinates in FITS is presented as an example.Published by Elsevier B.V.

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AST: A library for modelling and manipulating coordinate systems

Cited by 9 publications

References 15 publications

Dynamical Mass of the Young Brown Dwarf Companion PZ Tel B

Dynamical Mass of the Young Brown Dwarf Companion PZ Tel B

Exploring and Interrogating Astrophysical Data in Virtual Reality

Astronomical data formats: What we have and how we got here

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